Location: Sunnyvale, CA
Company: Google
for ML experimentation, development, and productionization, and align infrastructure initiatives with new areas of research and product innovation. This helps us better meet the challenge of the rapidly evolving hardware and software space around ML. As a Principal Engineer, you will lead the design and development of the Core ML training infrastructure and APIs.
You will drive the technical strategy and roadmap across the training ecosystem for Core ML. You will engage closely with Researchers, applied ML Leads, and product Technical Leads to design and develop an excellent ML training stack and ecosystem. You will utilize your technical expertise and influencing skills to innovate and
get support from multiple domain experts and executives. Google Cloud accelerates organizations' ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise.
We deliver enterprise-grade solutions that leverage Google's cutting-edge technology - all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $271,000-$399,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. The range displayed on
each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations.
Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Minimum qualifications: Bachelor's degree in Computer Science, or similar technical field of study, or equivalent practical experience.
15 years of experience as a software engineer or 13 years with an advanced degree. Experience with ML technologies and infrastructure. Experience with technical innovation and solving open-ended problems. Preferred qualifications: 20 years of professional experience. Expertise with reasoning and quantifying relative impacts and risks of technical work that could require the involvement of engineers. Technical expertise in systems and software, with the leadership skills to influence technical leaders across the company. Understanding of the needs of advanced ML developers.
Ability to quickly ramp up in new subject areas with short notice to guide mission-critical research into large potential risks related to infrastructure usage. Excellent API and systems design skills. - Provide leadership in designing and implementing user-friendly, high-performance training stack and ecosystem for research and various Google products. Work cross-functionally with Google Research and products to design developer solutions to streamline the research to production path for large models. - Develop a structure of other technical leads in the area, both by defining technical goals and orienting teams around technical decisions, and by providing development support to engineers in the area.
Escalate to Directors or Vice Presidents, when needed, about the lack of available Technical Leads, lack of resources, or challenges in development for the team. - Provide leadership in escalated situations or situations that require complex and immediate triaging, technical problems, and other emergency work, and help managers of associated teams understand the larger technical issues contributing to current challenges. Requisition #: 136473989980529350pca3lyuhf
Engineering jobs encompass roles that involve applying scientific and mathematical principles to design, develop, and maintain structures, machines, materials, systems, and processes. These positions are characterized by innovation, problem-solving responsibilities, and the need for technical expertise. Engineers can specialize in various fields such as civil, mechanical, electrical, chemical, and software, among others. They are essential in shaping the infrastructure of the modern world, formulating solutions to complex challenges, and driving technological advancement. Engineering roles often require a strong educational background combined with practical experience, and they stand out for their contribution to societal progress and potential for career growth.
Engineering jobs encompass a variety of roles focused on designing, developing, and maintaining systems or structures. These positions often require strong problem-solving skills, technical expertise, and a solid foundation in mathematics and science. Engineers typically work in fields such as civil, mechanical, electrical, chemical, or software engineering. The unique characteristic of engineering jobs lies in their blend of creativity and practicality, as engineers innovate while ensuring functionality and safety. With the ongoing advancement of technology, engineering roles are also evolving, demanding continuous learning and adaptation.
Engineering jobs encompass various roles focused on designing, developing, and maintaining structures, machines, devices, systems, and materials. These positions require a strong foundation in STEM (Science, Technology, Engineering, Mathematics) and often involve problem-solving, creativity, and technical expertise. Typical engineering disciplines include civil, mechanical, electrical, and chemical engineering, among others. Engineers work in diverse industries, from automotive to aerospace, construction to computing. Characteristics of engineering jobs include a blend of theoretical knowledge and practical application, a commitment to safety and efficiency, and the likelihood of collaborating across multidisciplinary teams.
Engineering jobs encompass various roles focused on designing, developing, and maintaining structures, machines, devices, systems, and materials. These positions require a strong foundation in STEM (Science, Technology, Engineering, Mathematics) and often involve problem-solving, creativity, and technical expertise. Typical engineering disciplines include civil, mechanical, electrical, and chemical engineering, among others. Engineers work in diverse industries, from automotive to aerospace, construction to computing. Characteristics of engineering jobs include a blend of theoretical knowledge and practical application, a commitment to safety and efficiency, and the likelihood of collaborating across multidisciplinary teams.
